What’s face recognition? Face recognition is the task of comparing an unknown individual’s face to images in a database of stored records. The mapping could be one–to–one or one–to–many, depending on whether we are running face verification or face identification. In this tutorial, we are interested in building a facial identification system that will verify if … [Read more...] about Building A Face Recognition System Using Scikit Learn In Python
Data Scientist’s Guide To Efficient Coding In Python
In this article, I wanted to share a few tips for writing cleaner codes that I have absorbed in the last year — mainly from pair programming. Generally speaking, including them as part of my everyday coding routine has helped me generate supreme quality Python scripts, that are easily maintainable and scalable over time. Ever thought why senior developer’s code look so … [Read more...] about Data Scientist’s Guide To Efficient Coding In Python
Step-By-Step Implementation of GANs on Custom Image Data in PyTorch: Part 2
In Part 1 on GANs, we started to build intuition regarding what GANs are, why we need them, and how the entire point behind training GANs is to create a generator model that knows how to convert a random noise vector into a (beautiful) almost real image. Since we have already discussed the pseudocode in great depth in Part 1, be sure to check that out as … [Read more...] about Step-By-Step Implementation of GANs on Custom Image Data in PyTorch: Part 2
How I Would Explain GANs From Scratch to a 5-Year Old: Part 1
Note: Quite frankly, there are already a zillion articles out there explaining the intuition behind GANs. While I will briefly touch upon it, the rest of the article will be an absolute deep dive into the GAN architecture and mainly coding — but with a very very detailed explanation of the pseudocode (open-sourced as an example by PyTorch on Github). Why do I need … [Read more...] about How I Would Explain GANs From Scratch to a 5-Year Old: Part 1